Sr. Research Intelligence Engineer
PitchBook Data · New York, New York, United States
Posted 14 days ago · $145,000-$185,000
or apply directly on PitchBook Data's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days PitchBook Data's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 78% of PitchBook Data's roles list one
- Ghost-job risk at PitchBook Data
- high 17 stale, 1 reposted of 27 open
- Hiring momentum
- 49 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from PitchBook Data's own greenhouse board since 2026-08-03. Full hiring picture for PitchBook Data.
About this role
As a Senior Research Intelligence Engineer at PitchBook, you will be integral to the Editorial team, focusing on managing data products and processes to deliver insightful reports and analytics. Your role involves collaborating with Product and Development teams to implement methodologies, maintaining data pipelines, and advising on data adjustments. You will also support junior engineers and participate in various company initiatives, all within a collaborative and flexible work environment.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PitchBook Data as an employer.
What you need
- 7+ years of experience in data engineering, data analysis, or data-driven research
- Demonstrated proficiency in SQL and Python
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Nice to have
- Demonstrated proficiency in software development and deployment techniques, including AI-enabled coding tools
- Demonstrated experience working cross-functionally with technical teams to deploy complex tools and methodologies to production
- Strong understanding of financial concepts such as valuation techniques, startup cap tables, internal rate of return, and portfolio management
- Strong interest in M&A and private financial markets
- Bachelor's degree in a quantitative or technical field — Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or quantitative Finance/Economics — preferred
What you get
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
Worth weighing
- Role requires being in the office 5 days a week, which may not suit remote work preferences
- The position involves a high level of collaboration and communication, which may require strong interpersonal skills
- The job may involve ambiguity and the need to adapt quickly to changes in a fast-growing environment
Summarised from PitchBook Data's posting. Read the full original.
Listed by PitchBook Data on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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